Videos: Deep Learning Summer School 2016

The videos and slides of the Deep Learning Summer School 2016 are out on VideoLectures.net:

Invited Talks

• Machine Learning Doina Precup
• Neural Networks Hugo Larochelle
• Introduction to Theano Pascal Lamblin
• Convolutional Neural Networks and Computer Vision Rob Fergus
• Learning to See Antonio Torralba
• Introduction to Torch Alex Wiltschko
• Recurrent Neural Networks Yoshua Bengio
• Reasoning, Attention and Memory Sumit Chopra
• Large Scale Deep Learning with TensorFlow Jeffrey Dean
• Deep Natural Language Understanding Kyunghyun Cho
• Beyond Seq2Seq with Augmented RNNs Edward Grefenstette
• GPU programming for Deep Learning Julie Bernauer, Ryan Olson
• Introduction to Reinforcement Learning Joelle Pineau
• Deep Reinforcement Learning Pieter Abbeel
• Learning Deep Generative Models Ruslan Salakhutdinov
• Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models Shakir Mohamed
• Beyond inspiration: Five lessons from biology on building intelligent machines Bruno Olshausen
• Theoretical neuroscience and deep learning theory Surya Ganguli

Contributed Talks

• Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks Rajarshi Das
• Professor Forcing: A New Algorithm for Training Recurrent Networks Anirudh Goyal
• Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations Tegan Maharaj
• Deep multi-view representation learning of brain responses to natural stimuli Leila Wehbe
• Advanced Topics in LR Doina Precup
• Advanced Topics in LR Joelle Pineau
• Learning to Communicate with Deep Multi­-Agent Reinforcement Learning Jakob Foerster
• Model-Based Relative Entropy Stochastic Search Abbas Abdolmaleki
• Learning Nash Equilibrium for General-Sum Markov Games from Batch Dat Julien Pérolat
• A Network-based End-to-End Trainable Task-oriented Dialogue System Tsung-Hsien Wen
• Inference Learning Patrick Putzky
• Variational Autoencoders with PixelCNN Decoders Ishaan Gulrajani
• An Infinite Restricted Boltzmann Machine Marc-Alexandre Côté
• Deep siamese neural network for prediction of long-range interactions in chromatin Davide Chicco
• Beam Search Message Passing in Bidirectional RNNs: Applications to Fill-in-the-Blank Image Captioning Qing Sun
• Analyzing the Behavior of Deep Visual Question Answering Models Aishwarya Agrawal
• Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation Sina Honari

h/t Edward Grefenstette 




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